Early Displacement of Reconstruction Material is a Predictor of Cerebrospinal Fluid Leak Post Endoscopic Skull Base Surgery.
CSF
Cerebrospinal fluid leak
Endoscopic skull base reconstruction
Skull base surgery
Journal
World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275
Informations de publication
Date de publication:
08 Nov 2023
08 Nov 2023
Historique:
received:
28
10
2023
accepted:
03
11
2023
pubmed:
10
11
2023
medline:
10
11
2023
entrez:
9
11
2023
Statut:
aheadofprint
Résumé
The reconstruction technique and materials used for endoscopic skull base surgery (ESBS) are important factors in preventing cerebrospinal fluid (CSF) leak, a notable complication following this surgery. Visualizing the status of reconstruction early in the postoperative course can help determine the risk of postoperative CSF leak. Here, we aimed to determine if the radiological status of reconstruction post endonasal endoscopic surgery can predict postoperative CSF leak. This retrospective study included patients who had undergone ESBS between 2015 and 2020. An early computed tomography (CT) scan (obtained within 24 hours of surgery) was utilized to evaluate the reconstruction and postoperative radiological changes, and its findings were correlated with the occurrence of postoperative CSF leaks. Our study included 11 (12.7%) out of 86 patients with CSF leaks. The type of reconstruction, construction material, and type of nasal packing were not identified as significant risk factors for CSF leaks. The location of the fat graft (placed properly vs. displaced out of the surgical cavity) was significantly associated with CSF leak (P = 0.001). All patients with a displaced solid reconstruction (n = 5), displaced septal flap (n = 6), signs of air continuation (n = 2), or significantly increased amount of air (n = 5) presented with a CSF leak (P < 0.001). Early postoperative CT scan is predictive of CSF leak. Displacement of the fat graft in early postoperative CT was the most important factor in predicting CSF leak. In this patient group, paying attention to radiological predictors of CSF leaks is important, supported by clinical findings.
Sections du résumé
BACKGROUND
BACKGROUND
The reconstruction technique and materials used for endoscopic skull base surgery (ESBS) are important factors in preventing cerebrospinal fluid (CSF) leak, a notable complication following this surgery. Visualizing the status of reconstruction early in the postoperative course can help determine the risk of postoperative CSF leak. Here, we aimed to determine if the radiological status of reconstruction post endonasal endoscopic surgery can predict postoperative CSF leak.
METHODS
METHODS
This retrospective study included patients who had undergone ESBS between 2015 and 2020. An early computed tomography (CT) scan (obtained within 24 hours of surgery) was utilized to evaluate the reconstruction and postoperative radiological changes, and its findings were correlated with the occurrence of postoperative CSF leaks.
RESULTS
RESULTS
Our study included 11 (12.7%) out of 86 patients with CSF leaks. The type of reconstruction, construction material, and type of nasal packing were not identified as significant risk factors for CSF leaks. The location of the fat graft (placed properly vs. displaced out of the surgical cavity) was significantly associated with CSF leak (P = 0.001). All patients with a displaced solid reconstruction (n = 5), displaced septal flap (n = 6), signs of air continuation (n = 2), or significantly increased amount of air (n = 5) presented with a CSF leak (P < 0.001).
CONCLUSIONS
CONCLUSIONS
Early postoperative CT scan is predictive of CSF leak. Displacement of the fat graft in early postoperative CT was the most important factor in predicting CSF leak. In this patient group, paying attention to radiological predictors of CSF leaks is important, supported by clinical findings.
Identifiants
pubmed: 37944857
pii: S1878-8750(23)01571-1
doi: 10.1016/j.wneu.2023.11.008
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023 Elsevier Inc. All rights reserved.